Triple

T26069491
Position Surface form Disambiguated ID Type / Status
Subject Minab E657500 entity
Predicate locatedOnWaterbody P1489 FINISHED
Object Minab River
The Minab River is a significant river in southern Iran that flows through Hormozgan Province and supports local agriculture and settlements before reaching the Persian Gulf.
 E1763919 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Minab River | Statement: [Minab, locatedOnWaterbody, Minab River]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Minab River
Triple: [Minab, locatedOnWaterbody, Minab River]
Generated description
The Minab River is a significant river in southern Iran that flows through Hormozgan Province and supports local agriculture and settlements before reaching the Persian Gulf.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ee5bbe539081909efc7f9dd7c1b53c completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f606c91710819081f3e0187820f1e8 completed May 2, 2026, 2:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1262421f9c8190ac79541ca624ba41 completed May 24, 2026, 2:28 a.m.
NEDg Description generation batch_6a126e2718388190b31720053e52d8d5 completed May 24, 2026, 3:19 a.m.
NED2 Entity disambiguation (via description) batch_6a126e921a948190aa5d244eb9c4ddea completed May 24, 2026, 3:20 a.m.
Created at: April 26, 2026, 7:27 p.m.